Triple
T14637155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roberto Saviano |
E343636
|
entity |
| Predicate | workSubject |
P7040
|
FINISHED |
| Object | Camorra |
E1109970
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Camorra | Statement: [Roberto Saviano, workSubject, Camorra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camorra Context triple: [Roberto Saviano, workSubject, Camorra]
-
A.
Camorra
chosen
The Camorra is a powerful and decentralized Neapolitan mafia-type criminal organization involved in activities such as extortion, drug trafficking, and political corruption in Italy and abroad.
-
B.
Omertà
Omertà is a crime novel by Mario Puzo that explores the Sicilian Mafia’s code of silence through the story of a powerful don and his heir.
-
C.
The Mob
The Mob is a 1951 American film noir crime drama starring Broderick Crawford as a tough undercover cop infiltrating a corrupt waterfront underworld.
-
D.
La Mafia
La Mafia is a Grammy-winning American band from Houston, Texas, widely recognized for modernizing and popularizing Tejano music with a polished, pop-influenced sound.
-
E.
Roma Maffia
Roma Maffia is an American actress best known for her strong supporting roles in television dramas and films, often portraying sharp, authoritative professionals.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4aca6448190adf1042dfbfef716 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d2059081908150b6534aebb32f |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.